Importance of Readiness Assessments in Data Governance Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for …
Data Quality Program – Implementation Guidelines
Data Quality Implementation Guidelines Typically, a hybrid approach to executing data quality initiatives works best – top-down for sponsorship, consistency, and resources, but bottom-up to discover what is actually broken …
Data Quality – Audit Code Module and Metrics
Data Quality Checks and Audit Code Modules Create shareable, linkable, and re-usable code modules that execute repeated data quality checks and audit processes that developers can get from a library. …
Data Quality – Preventive and Corrective Actions
Data Quality Improvement: Preventive Actions How Does Metadata Improve Data-Quality The best way to create high quality data is to prevent poor Q.D from entering an organization. Preventive actions stop …
Data Quality – Tools
Data Quality Tools in Enterprise Planning Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set …
Data Quality – Incident Tracking System
Data Quality Incident Tracking System Overview The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the …
Data Quality – SLA – Service Level Agreements
What is Data Quality Service Level Agreement? A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data …
Data Quality Reporting
How Data Quality Reporting Works? The work of assessing the quality of data and managing data issues will not benefit the organization unless the information is shared through reporting so …